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Coupling high-throughput genetics with phylogenetic information reveals an epistatic interaction on the influenza A virus M segment.
Wu, Nicholas C; Du, Yushen; Le, Shuai; Young, Arthur P; Zhang, Tian-Hao; Wang, Yuanyuan; Zhou, Jian; Yoshizawa, Janice M; Dong, Ling; Li, Xinmin; Wu, Ting-Ting; Sun, Ren.
Afiliación
  • Wu NC; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. wchnicholas@ucla.edu.
  • Du Y; Molecular Biology InstituteUniversity of California, Los Angeles, 90095, CA, USA. wchnicholas@ucla.edu.
  • Le S; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, 92037, CA, USA. wchnicholas@ucla.edu.
  • Young AP; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. lily.duyushen@gmail.com.
  • Zhang TH; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. leshuai2004@qq.com.
  • Wang Y; Department of Microbiology, Third Military Medical University, Chongqing, 400038, China. leshuai2004@qq.com.
  • Zhou J; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. arthurpyoung@gmail.com.
  • Yoshizawa JM; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. zth1992@gmail.com.
  • Dong L; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. wyynju@163.com.
  • Li X; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. JamieZhou@mednet.ucla.edu.
  • Wu TT; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. JYoshizawa@mednet.ucla.edu.
  • Sun R; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, 90095, CA, USA. LingDong@mednet.ucla.edu.
BMC Genomics ; 17: 46, 2016 Jan 12.
Article en En | MEDLINE | ID: mdl-26754751
BACKGROUND: Epistasis is one of the central themes in viral evolution due to its importance in drug resistance, immune escape, and interspecies transmission. However, there is a lack of experimental approach to systematically probe for epistatic residues. RESULTS: By utilizing the information from natural occurring sequences and high-throughput genetics, this study established a novel strategy to identify epistatic residues. The rationale is that a substitution that is deleterious in one strain may be prevalent in nature due to the presence of a naturally occurring compensatory substitution. Here, high-throughput genetics was applied to influenza A virus M segment to systematically identify deleterious substitutions. Comparison with natural sequence variation showed that a deleterious substitution M1 Q214H was prevalent in circulating strains. A coevolution analysis was then performed and indicated that M1 residues 121, 207, 209, and 214 naturally coevolved as a group. Subsequently, we experimentally validated that M1 A209T was a compensatory substitution for M1 Q214H. CONCLUSIONS: This work provided a proof-of-concept to identify epistatic residues by coupling high-throughput genetics with phylogenetic information. In particular, we were able to identify an epistatic interaction between M1 substitutions A209T and Q214H. This analytic strategy can potentially be adapted to study any protein of interest, provided that the information on natural sequence variants is available.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Virus de la Influenza A / Filogenia / Proteínas de la Matriz Viral / Ensayos Analíticos de Alto Rendimiento Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Virus de la Influenza A / Filogenia / Proteínas de la Matriz Viral / Ensayos Analíticos de Alto Rendimiento Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos